Creator:
Fernández, Maria C. ; Menasalvas, Ernestina ; Marbán, Óskar ; Pena, José M. ; Millán, Socorro
Contributor:
Grzymala-Busse, Jerzy - ed. ; Świniarski, Roman W. - ed. ; Zhong, Ning - ed. ; Ziarko, Wojciech - ed.
Title:
Minimal decision rules based on the Apriori algorithm
Subtitle:
Rough Sets and Their Applications
Group publication title:
Subject and Keywords:
rough sets ; rough dependencies ; association rules ; Apriori algorithm ; minimal decision rules
Abstract:
Based on rough set theory many algorithms for rules extraction from data have been proposed. Decision rules can be obtained directly from a database. Some condition values may be unnecessary in a decision rule produced directly from the database. Such values can then be eliminated to create a more comprehensible (minimal) rule. ; Most of the algorithms that have been proposed to calculate minimal rules are based on rough set theory or machine learning. In our approach, in a post-processing stage, we apply the Apriori algorithm to reduce the decision rules obtained through rough sets. The set of dependencies thus obtained will help us discover irrelevant attribute values.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Date:
Resource Type:
Pages:
Source:
AMCS, volume 11, number 3 (2001) ; click here to follow the link